These are my links for April 11th through April 27th: 22 free tools for data visualization and analysis – Computerworld – Here’s a rundown of some of the better-known options, many of which were demonstrated at the Computer-Assisted Reporting (CAR) conference last month. Others are not as well known but show great promise. They range from easy enough for a beginner (i.e., anyone who can do rudimentary spreadsheet data entry) to expert (requiring hands-on coding). But they all share one important characteristic: They’re free. Your only investment: time.
These are my links for April 3rd through April 8th: List of resources: Article text extraction from HTML documents | My tech blog. – Following up to my overview of article text extractors, Iâ€™ll try to compile a list of research papers, articles, web APIs, libraries and other software that I encountered during my research. A Short History of Markov Chain Monte Carlo – We attempt to trace the history and development of Markov chain Monte Carlo (MCMC) from its early inception in the late 1940â€™s through its use today. We see how the earlier stages of Monte Carlo (MC, […]
These are my links for March 23rd through April 3rd: The Ideal Large Scale Learning Class Â« Machine Learning (Theory) – At NIPS, Andrew Ng asked me what should be in a large scale learning class. After some discussion with him and Nando and mulling it over a bit, these are the topics that I think should be covered. There are many different kinds of scaling. 10 Rules That Govern Groups â€” PsyBlog – Much of our lives are spent in groups with other people: we form groups to socialise, earn money, play sport, make music, even to change the […]